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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 12285
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    Explanations

    verbs related to using tools, equipment, or software effectively

    oai_token-act-pair · gpt-3.5-turbo

    actions involving the use or application of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Voting
    -0.61
    agons
    -0.61
     Devi
    -0.60
     suppliers
    -0.59
    pu
    -0.58
     hires
    -0.58
     Representatives
    -0.58
    Merit
    -0.58
     Funding
    -0.58
     Mek
    -0.57
    POSITIVE LOGITS
     alone
    1.31
     outdoors
    1.22
     indoors
    1.13
     consecut
    1.12
     casually
    1.08
     solo
    1.06
     alongside
    1.04
     horizontally
    1.04
     separately
    1.03
     orally
    1.02
    Activations Density 0.283%

    No Known Activations